Preoperative duration of type 2 diabetes mellitus and remission after Roux-en-Y gastric bypass: a single center long-term cohort study
Bibliographic record
Abstract
BACKGROUND: Roux-en-Y gastric bypass (RYGB) has demonstrated excellent glycemic control and type 2 diabetes mellitus (T2DM) remission for patients with obesity and T2DM. Duration of T2DM is a consistent negative predictor of remission after RYGB. However, the exact timing to offer surgical intervention during the course of the disease is not well elucidated. MATERIAL AND METHODS: The authors performed a retrospective cohort study between 2008 and 2020 to establish the exact association between duration of T2DM and remission after RYGB. The authors divided our cohort into quartiles of preoperative disease duration to quantify the change in remission rates for each year of delay between T2DM diagnosis and RYGB. The authors also compared the average time to remission and changes in glycemic control parameters. RESULTS: A total of 519 patients (67.2% female; age 53.4±10.7 year; BMI 46.6±8.4 kg/m 2 ) with a follow-up period of 6.6±3.8 years were included. Remission was demonstrated in 51% of patients. Longer duration of T2DM was a significant negative predictor of remission with an estimated decrease in remission rates of 7% for each year of delay [(OR=0.931 (95% CI: 0.892-0.971); P< 0.001)]. Compared to patients with <3 years of T2DM, remission decreased by 37% for patients with 3-6 years, 64% for those with 7-12 years, and 81% for patients with more than 12 years ( P <0.001). Half of the patients reached T2DM remission after 0.5 and 1.1 years, respectively, for the first and second quartiles, while patients in the other quartiles never reached 50% remission. Lastly, The authors noted an overall improvement in all glycemic control parameters for all quartiles at last follow-up. CONCLUSION: Patients with a recent history of T2DM who undergo early RYGB experience significantly higher and earlier T2DM remission compared to patients with a prolonged history of preoperative T2DM, suggesting potential benefit of early surgical intervention to manage patients with obesity and T2DM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".